Procurement Analytics

“Unlock Cost Savings and Optimize Efficiency with Procurement Analytics – Backed by the domain expertise of KEPLER Consulting”

Procurement Analytics unlocks insights from your data to drive informed decision-making and cost savings. Our expert team, Strongly supported by KEPLER Consulting‘s domain expertise, uses advanced analysis tools to provide a comprehensive view of your Procurement processes.

By analyzing data like supplier performance, purchase orders, and inventory levels, we identify inefficiencies and improvement areas. We analyze supplier performance trends for negotiation opportunities, optimize inventory to reduce waste, and find cost-saving opportunities in the Procurement process.

With our data-driven insights, you can optimize Procurement for improved business outcomes.

Our Core Expertise In Procurement Analytics

Data accuracy and completeness
Accuracy in categorization & spend data analysis due to large number of suppliers and fragmented data
Absence or inaccuracy of contract data
Intricate nature of supply chain networks and external factors like market conditions and regulatory shifts.
Decentralized decision-making process
Challenge in analyzing indirect spend due to wide range of categories and inconsistent data quality

Category Spend Analytics: For Identifying cost-saving opportunities and improving pricing negotiations linking with PIC PDP (S&OP) process
Category Taxonomy: To ensure consistent categorization and improved accuracy of spend analytics
Contract Management: To enhance accuracy of spend analytics by centralizing and updating contract data. Monitoring compliance and identifying opportunities for renegotiation can help achieve cost savings and steer rebates
Spend Prediction: By analyzing historical data and identifying trends. This can enable better inventory management and negotiation strategies in response to demand and supply chain disruptions
Tail Spend Analytics: Analyzing spend data at the supplier level can help identify consolidation and cost-saving opportunities. This can enable negotiating better pricing and reducing supplier risk by identifying areas of overlap.
CAPEX Analytics: To manage capital expenditures by Project progress tracking, cost overrun identification, and benchmarking against industry peers. This can reduce waste and improve project outcomes
Indirect Spend Analytics: To identify cost-saving and process improvement opportunities by analyzing spending patterns and supplier performance at the category level. This can enable negotiating better pricing and improving supplier relationships

Collecting and aggregating data from various sources to provide comprehensive and accurate cost estimations
Obtaining negotiation data and developing new data collection methods or tools
Identifying factors impacting overall cost and their complex interactions
Dealing with incomplete or inconsistent bid data from suppliers
Pricing discrepancies
Availability and accuracy of benchmarking data

Cost Estimation Analytics: To provide a basis for negotiations and cost reduction strategies by accurately estimate the cost of goods or services
Negotiation Analytics:To improve negotiation strategies for win-win scenarios by identifying cost-saving opportunities
Cost Modeling Analytics:To optimize cost structures & understand the inflation by providing insights on the impact of different cost factors on the overall cost of goods or services
Bid Analytics:To identify the most cost-effective options by evaluating supplier proposals with various dimensional analysis
Price Variance Analytics:To uncover potential cost-saving opportunities by identifying pricing discrepancies and anomalies
Cost Benchmarking Analytics: To identify areas for improvement by comparing costs against industry standards

Difficulty in obtaining and analyzing accurate and complete data from suppliers
Excess consumption patterns and identifying root causes
Balancing competing priorities of cost reduction, quality, and delivery timelines
Defining and measuring relevant KPIs to accurately capture performance
Coordinating between different business units or systems to access and integrate data from multiple sources
Finding relevant and reliable benchmark data, especially in non-standardized industries or markets

Invoice Analytics: To identify areas for cost reduction and potential cost-saving opportunities
Consumption Analytics:To identify areas of excess consumption and reduce costs
Optimal PO Allocation Analytics: To ensure effective and efficient resource utilization, leading to cost reduction.
PO KPI Analytics: To identify areas for improvement in cost reduction and efficiency by analyzing purchase order performance
Pre-M&A Synergy Analytics:To identify cost-saving and efficiency opportunities following a merger or acquisition through transaction data analysis
Post-M&A Synergy Analytics:To identify areas for improvement through transaction data analysis. Monitoring post-merger integration progress.
Benchmarking: To identify cost-saving opportunities and areas for improvement by comparing transaction data with industry or market benchmarks

Effectively comparing bids from multiple suppliers with varying offerings and pricing structures
Incorporating multiple criteria and data points into the decision-making process
Limited availability of data on potential suppliers, particularly in emerging or niche markets
Limited negotiation ability with suppliers, especially with few options or suppliers having significant market power

RFX Analytics:To identify the most suitable supplier for optimal procurement decisions by evaluating supplier bids based on factors like price, quality, and delivery time
MCDM-based Vendor Analytics:To evaluate suppliers based on multiple criteria and select the best supplier for specific projects by utilizing multi-criteria decision-making (MCDM) techniques
Supplier Selection Analytics: To streamline supplier sourcing processes by identifying potential suppliers based on factors such as price, quality, and delivery time
Bid Optimization Analytics:to identify the most cost-effective solutions by optimize supplier bids and maximizing value in procurement activities

Establishing standardized criteria and weightage system for evaluating vendor risks across different categories
Ensuring evaluation metrics align with business objectives and accurately capture vendor performance across procurement processes
Integrating data from multiple sources and systems for comprehensive procurement data
Identifying and validating relevant data sources and factors for supplier failure prediction
Keeping up with evolving regulations and maintaining a flexible compliance monitoring system to adapt to new requirements
Establishing a system for timely and effective communication of potential risks across departments and stakeholders
Balancing risk mitigation strategies with cost savings and supplier performance while aligning with overall business goals

Vendor Risk Scoring & Vendor Risk Scoring Analytics: To Automate risk scoring and gain real-time insights into vendor risk by evaluating vendor risk based on financial stability, compliance, and reputational factors
Performance Evaluation Analytics: To enhance vendor management by monitoring vendor performance, identifying improvement areas, and automating performance evaluation processes
BI Control Towers:To enable proactive risk management and informed decision-making by centralizing procurement data for real-time monitoring, risk identification, and supplier performance evaluation
Failure Predictions Analytics: to automate failure prediction processes and to gain real-time insights into supplier risk by using machine learning algorithms and predicting supplier failures
Compliance Monitoring: To ensure suppliers’ adherence to laws and regulations by automating compliance monitoring and providing real-time insights into compliance risks
Early Warning Systems: To enable timely risk mitigation and business continuity by utilizing data analytics to proactively identify potential risks before they escalate and setting up suitable trigger alerts
Risk Mitigation Strategies: To mitigate procurement risks by diversifying supplier networks and optimizing risk management practices through identifying, prioritizing, and developing strategies